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Fig. 4 | BioData Mining

Fig. 4

From: Sparse self-attention aggregation networks for neural sequence slice interpolation

Fig. 4

Illustration of how the three terms in the style balanced loss evolves during training. Here, sign0,sign1,sign2 denote \(sign\left (\mathcal {L}_{style_{1'0}}-\mathcal {L}_{style_{10}}\right)\mathcal {L}_{style_{1'0}}, sign\left (\mathcal {L}_{style_{1'1}}-\mathcal {L}_{style_{11}}\right)\mathcal {L}_{style_{1'1}}\) and \(sign\left (\mathcal {L}_{style_{1'2}}-\mathcal {L}_{style_{12}}\right)\mathcal {L}_{style_{1'2}}\), respectively

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